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abbreviations: baseline pupil size (BPS), stimulus-evoked pupillary response (SEPR), mismatch-negativity-associated amplitude (MMN-amp), neural gain (NG)
| variable | n | mean | sd | min | max | skew | kurtosis |
|---|---|---|---|---|---|---|---|
| BPS | 322 | 3.445 | 0.522 | 2.256 | 5.884 | 0.702 | 1.188 |
| SEPR - standard | 322 | -0.001 | 0.005 | -0.035 | 0.044 | 2.509 | 40.702 |
| SEPR - pitch oddball | 316 | 0.001 | 0.009 | -0.077 | 0.023 | -3.937 | 31.571 |
| SEPR - length oddball | 318 | 0.000 | 0.009 | -0.046 | 0.100 | 4.223 | 46.168 |
| SEPR - pitch+length oddball | 317 | 0.000 | 0.006 | -0.033 | 0.018 | -1.227 | 4.825 |
| MMN - standard | 241 | -10.641 | 3.570 | -23.246 | -3.316 | -0.766 | 0.559 |
| MMN - pitch oddball | 240 | -11.551 | 3.907 | -21.863 | -3.060 | -0.536 | -0.397 |
| MMN - length oddball | 240 | -11.881 | 3.672 | -22.399 | -3.680 | -0.500 | -0.142 |
| MMN - pitch+length oddball | 240 | -11.741 | 3.852 | -23.071 | -0.170 | -0.433 | 0.109 |
| NG | 267 | 0.006 | 0.044 | -0.164 | 0.182 | 1.125 | 6.408 |
| variable | n | mean | sd | min | max | skew | kurtosis |
|---|---|---|---|---|---|---|---|
| BPS | 298934 | 3.407 | 0.550 | 1.952 | 6.399 | 0.629 | 0.986 |
| SEPR - standard | 248260 | -0.001 | 0.034 | -0.352 | 0.303 | -0.536 | 3.585 |
| SEPR - pitch oddball | 14758 | 0.001 | 0.034 | -0.256 | 0.219 | -0.514 | 3.597 |
| SEPR - length oddball | 17419 | -0.001 | 0.033 | -0.268 | 0.222 | -0.517 | 3.154 |
| SEPR - pitch+length oddball | 18497 | 0.001 | 0.034 | -0.247 | 0.240 | -0.494 | 3.093 |
| MMN - standard | 13148 | -10.558 | 9.064 | -69.143 | 50.221 | -0.791 | 2.441 |
| MMN - pitch oddball | 10738 | -11.281 | 9.237 | -94.139 | 24.670 | -1.048 | 3.412 |
| MMN - length oddball | 10730 | -11.701 | 9.355 | -88.872 | 32.803 | -0.865 | 2.678 |
| MMN - pitch+length oddball | 11004 | -11.443 | 9.192 | -87.129 | 68.538 | -0.746 | 3.373 |
| F | df1 | df2 | b | std. error | p | |
|---|---|---|---|---|---|---|
| BPS - across stimuli | 5.208 | 1 | 320 | -0.257 | 0.113 | 0.023 |
| NG - standards | 4.913 | 1 | 121 | -0.401 | 0.181 | 0.029 |
| SEPR - standards | 0.14 | 1 | 320 | -0.042 | 0.114 | 0.709 |
| SEPR - pitch oddball | 0.213 | 1 | 314 | 0.053 | 0.114 | 0.645 |
| SEPR - length oddball | 0.535 | 1 | 316 | 0.083 | 0.114 | 0.465 |
| SEPR - pitch+length oddball | 0.071 | 1 | 315 | 0.03 | 0.114 | 0.79 |
| MMN - standards | 0.027 | 1 | 239 | 0.022 | 0.132 | 0.869 |
| MMN - pitch oddball | 1.648 | 1 | 238 | 0.169 | 0.132 | 0.201 |
| MMN - length oddball | 1.552 | 1 | 238 | 0.164 | 0.132 | 0.214 |
| MMN - pitch+length oddball | 0.83 | 1 | 238 | 0.12 | 0.132 | 0.363 |
| Sum Sq | df | F | p | |
|---|---|---|---|---|
| intercept | 1.062 | 1 | 1.266 | 0.261 |
| group | 2.688 | 1 | 3.204 | 0.074 |
| age | 48.850 | 1 | 58.222 | 0.000 |
| perceptual IQ | 3.939 | 1 | 4.694 | 0.031 |
| sex | 1.218 | 1 | 1.452 | 0.229 |
| sampling rate | 0.049 | 1 | 0.058 | 0.810 |
| gaze center deviation | 0.005 | 1 | 0.005 | 0.941 |
| data quality | 0.228 | 1 | 0.272 | 0.603 |
| residuals | 263.452 | 314 | NA | NA |
| Sum Sq | df | F | p | |
|---|---|---|---|---|
| intercept | 0.973 | 1 | 1.168 | 0.281 |
| group | 2.349 | 1 | 2.819 | 0.094 |
| age | 49.387 | 1 | 59.272 | 0.000 |
| perceptual IQ | 4.796 | 1 | 5.756 | 0.017 |
| residuals | 264.967 | 318 | NA | NA |
| Sum Sq | df | F | p | |
|---|---|---|---|---|
| intercept | 0.592 | 1 | 0.587 | 0.445 |
| group | 3.753 | 1 | 3.719 | 0.056 |
| age | 0.763 | 1 | 0.756 | 0.386 |
| perceptual IQ | 0.108 | 1 | 0.108 | 0.744 |
| sex | 0.074 | 1 | 0.073 | 0.787 |
| sampling rate | 0.000 | 1 | 0.000 | 0.998 |
| gaze center deviation | 0.253 | 1 | 0.251 | 0.618 |
| data quality | 0.183 | 1 | 0.182 | 0.671 |
| residuals | 116.044 | 115 | NA | NA |
| Sum Sq | df | F | p | |
|---|---|---|---|---|
| intercept | 1.935 | 1 | 1.997 | 0.160 |
| group | 4.761 | 1 | 4.913 | 0.029 |
| residuals | 117.239 | 121 | NA | NA |
A higher proportion of autistic versus non-autistic individuals received medication (ASD: 46.7%, non-ASD: 18.2%, Chi² = 17.95, p < .001). 12 autistic and 2 non-autistic participants received more than one medication. Medication was primarily related to comorbid symptoms in those receiving medication (melatonin: 23%, methlphenidate: 22%, selective serotonin reuptake inhibitor: 15%, antiepileptics: 11%, risperidone: 7%, atomoxetine: 6%, other: 16%). We calculated a variable whether participants received any medication (yes versus no), which was included as a covariate into models that reported group differences.
On a per participant level, the inclusion of medication did not have an effect on baseline pupil size (BPS) or neuronal gain (NG) and did not alter the group differences (BPS: F(1, 319) = 5.19, p = .023; NG: F(1, 120) = 4.90, p = .028).
For the dynamic BPS model, medication had a significant effect on the cubic fit of BPS (F(1, 294641) = 15.52, p < .001) and was described by a higher mean BPS for medication (0.03 [0.01, 0.04]). However, this covariate effect did not alter the group differences in dynamic BPS (F(3, 298714) = 12.53, p < .001).
For the dynamic SEPR and MMN model, medication did not have a significant effect on SEPR or MMN (F < 1) and did not alter the group difference interactions (SEPR: F(3, 298711) = 3.28, p = .017; MMN: F(3, 45406) = 2.71, p = .043).



| correlation | coefficient (r) | p | p adjusted |
|---|---|---|---|
| SEPR (standard) and BPS | 0.0647 | 0.2466 | 1.0000 |
| SEPR (pitch oddball) and BPS | -0.0361 | 0.5230 | 1.0000 |
| SEPR (length oddball) and BPS | 0.1512 | 0.0069 | 0.1656 |
| SEPR (pitch+length oddball) and BPS | -0.1502 | 0.0074 | 0.1776 |
| SEPR (standard) and MMN (standard) | -0.0445 | 0.4915 | 1.0000 |
| SEPR (pitch oddball) and MMN (pitch oddball) | 0.0731 | 0.2595 | 1.0000 |
| SEPR (length oddball) and MMN (length oddball) | 0.0387 | 0.5510 | 1.0000 |
| SEPR (pitch+length oddball) and MMN (pitch+length oddball) | -0.0063 | 0.9227 | 1.0000 |
| BPS and MMN (standard) | -0.1947 | 0.0024 | 0.0576 |
| BPS and MMN (pitch oddball) | -0.2292 | 0.0003 | 0.0072 |
| BPS and MMN (length oddball) | -0.2151 | 0.0008 | 0.0192 |
| BPS and MMN (pitch+length oddball) | -0.2008 | 0.0018 | 0.0432 |
| NG and BPS | -0.0159 | 0.7964 | 1.0000 |
| NG and BPS | -0.0159 | 0.7964 | 1.0000 |
| NG and BPS | -0.0159 | 0.7964 | 1.0000 |
| NG and BPS | -0.0159 | 0.7964 | 1.0000 |
| NG and SEPR (standard) | -0.0053 | 0.9318 | 1.0000 |
| NG and SEPR (pitch oddball) | 0.0055 | 0.9292 | 1.0000 |
| NG and SEPR (length oddball) | -0.0427 | 0.4897 | 1.0000 |
| NG and SEPR (pitch+length oddball) | -0.0906 | 0.1429 | 1.0000 |
| NG and MMN (standard) | -0.0198 | 0.7835 | 1.0000 |
| NG and MMN (pitch oddball) | -0.0597 | 0.4055 | 1.0000 |
| NG and MMN (length oddball) | -0.1025 | 0.1530 | 1.0000 |
| NG and MMN (pitch+length oddball) | -0.0393 | 0.5840 | 1.0000 |
| number of parameters | AIC | BIC | log likelihood | deviance | Chi-squared | df | p-value | |
|---|---|---|---|---|---|---|---|---|
| linear fit | 5 | 447549.2 | 447602.2 | -223769.6 | 447539.2 | NA | NA | NA |
| quadratic fit | 6 | 444544.2 | 444607.8 | -222266.1 | 444532.2 | 3007.00562 | 1 | 0 |
| cubic fit | 7 | 444502.4 | 444576.6 | -222244.2 | 444488.4 | 43.80701 | 1 | 0 |
| number of parameters | AIC | BIC | log likelihood | deviance | Chi-squared | df | p-value | |
|---|---|---|---|---|---|---|---|---|
| linear fit | 5 | 847877.2 | 847930.3 | -423933.6 | 847867.2 | NA | NA | NA |
| quadratic fit | 6 | 847876.0 | 847939.6 | -423932.0 | 847864.0 | 3.228135 | 1 | 0.0723831 |
| cubic fit | 7 | 847857.4 | 847931.7 | -423921.7 | 847843.4 | 20.558183 | 1 | 0.0000058 |
| number of parameters | AIC | BIC | log likelihood | deviance | Chi-squared | df | p-value | |
|---|---|---|---|---|---|---|---|---|
| linear fit | 5 | 124241.2 | 124284.8 | -62115.59 | 124231.2 | NA | NA | NA |
| quadratic fit | 6 | 124236.6 | 124289.0 | -62112.30 | 124224.6 | 6.593229 | 1 | 0.0102367 |
| cubic fit | 7 | 124230.6 | 124291.7 | -62108.28 | 124216.6 | 8.039332 | 1 | 0.0045772 |
| Sum Sq | Mean Sq | df1 | df2 | F | p adjusted | |
|---|---|---|---|---|---|---|
| stimulus (S) | 7.716 | 2.572 | 3 | 298664.131 | 10.077 | 0.000 |
| group | 0.026 | 0.026 | 1 | 206.697 | 0.102 | 0.750 |
| task progression (TP) | 217.440 | 72.480 | 3 | 298670.314 | 283.965 | 0.000 |
| age | 65.497 | 65.497 | 1 | 225.068 | 256.607 | 0.000 |
| perceptual IQ | 0.514 | 0.514 | 1 | 206.874 | 2.015 | 0.157 |
| sex | 0.372 | 0.372 | 1 | 205.630 | 1.456 | 0.229 |
| sampling rate | 384.515 | 384.515 | 1 | 212854.336 | 1506.465 | 0.000 |
| gaze center deviation | 30.051 | 30.051 | 1 | 243201.221 | 117.733 | 0.000 |
| data quality | 122.061 | 122.061 | 1 | 298692.298 | 478.215 | 0.000 |
| S x group | 1.861 | 0.620 | 3 | 298664.118 | 2.430 | 0.063 |
| S x TP | 23.246 | 2.583 | 9 | 298664.319 | 10.119 | 0.000 |
| group x TP | 9.441 | 3.147 | 3 | 298673.812 | 12.329 | 0.000 |
| S x group x TP | 1.110 | 0.123 | 9 | 298664.299 | 0.483 | 0.887 |
| covariate | estimate | lower bound (2.5%) | upper bound (97.5%) |
|---|---|---|---|
| age (yrs) | -0.56 | -0.63 | -0.48 |
| sampling rate (300Hz vs. 120Hz) | 0.17 | 0.16 | 0.18 |
| gaze center deviation (%) | 0.02 | 0.01 | 0.02 |
| missing data per trial (%) | 0.02 | 0.02 | 0.02 |
In this supplementary analyses, we investigated stimulus habituation of baseline pupil size (BPS), stimulus-evoked pupillary response (SEPR), and mismatch-negativity-associated amplitude. For these analyses, we exchanged the fixed effect of task progression with sequence position, i.e., trials since last oddball. This was modeled for sequence position as continuous variable (sequence position: 1-10) or as categorical variable (sequence position: 1 vs. 2 vs. 3).
BPS did not differ between groups for sequence position as continuous (F(1,246853) = 1.45, p = .229) or categorical variable (F(1,133874) < 1). When limiting the analysis to the frequent standard stimuli (mR² = 0.01, cR² = 0.76, figure 4 – top right), BPS was characterized by an interaction of group x sequence position (F(1,204703) = 3.87, p = .049, BF < 1), which was not moderated by including covariates (F(1,204685) = 3.99, p < .045, supplement 14). Post-hoc analysis showed that the autistic group was associated with a BPS increase for standard stimuli in a sequence (Δβ = 0.01 [0.00, 0.02]) compared to the non-autistic group (Δβ = -0.01 [-0.02, 0.00]). This is supported by Bayesian posterior estimates that showed a BPS increase with standard stimuli sequences (b = 0.20 [0.07, 0.30]) compared to non-autistic individuals (b = 0.00 [0.00, 0.00]).
SEPR did not differ between groups for sequence position as continuous (F(1,246857) = 2.11, p = .146). For sequence position as categorical variable (1 vs. 2 vs. 3, mR² = 0.00, cR² = 0.00), SEPR was characterized by an interaction of group x sequence position (F(2,133893) = 3.43, p = .032, BF < 1), which was not moderated by the inclusion of covariates (F(2,133891) = 3.45, p < .031, supplement 16). Post-hoc analysis showed that this was driven by a lower SEPR to pitch oddballs at sequence position 2 in autistic versus non-autistic individuals (Δβ = -0.10 [-0.18, -0.02]). This was not supported by Bayesian posterior sampling that showed no group differences in posterior estimates.
MMN-amp differed between groups for sequence position as continuous variable (mR² = 0.01, cR² = 0.13), MMN-amp was characterized by an interaction of group x stimulus (F(3, 37901) = 2.29, p = 0.045, BF < 1), which was not moderated by the inclusion of covariates (F(3, 37906) = 2.67, p = 0.045, supplement 18). Post-hoc analysis showed a higher MMN-amp for oddball versus standard trials in autistic individuals (pitch: Δβ = 0.10 [0.06, 0.15]; length: Δβ = 0.15 [0.10, 0.19]; pitch & length: Δβ = 0.12 [0.07, 0.17]), compared to non-autistic individuals (pitch: Δβ = 0.02 [-0.03, 0.08]; length: Δβ = 0.07 [0.01, 0.13]; pitch & length: Δβ = 0.05 [0.00, 0.11]). This was not supported by Bayesian posterior sampling that showed no group differences in posterior estimates. For sequence position as categorical variable, MMN-amp did not differ between groups (F(3, 19273 = 1.57, p = 0.19).
| Sum Sq | Mean Sq | df1 | df2 | F | p adjusted | |
|---|---|---|---|---|---|---|
| group | 0.039 | 0.039 | 1 | 203.357 | 0.149 | 0.700 |
| sequence position - continuous (SP) | 0.120 | 0.120 | 1 | 204683.934 | 0.456 | 0.500 |
| age | 55.512 | 55.512 | 1 | 66.261 | 211.512 | 0.000 |
| perceptual IQ | 0.518 | 0.518 | 1 | 203.466 | 1.972 | 0.162 |
| sex | 0.366 | 0.366 | 1 | 202.854 | 1.394 | 0.239 |
| sampling rate | 280.262 | 280.262 | 1 | 87200.771 | 1067.853 | 0.000 |
| gaze center deviation | 25.843 | 25.843 | 1 | 140835.465 | 98.466 | 0.000 |
| data quality | 91.844 | 91.844 | 1 | 204711.585 | 349.944 | 0.000 |
| group x SP | 1.048 | 1.048 | 1 | 204684.867 | 3.992 | 0.046 |
| Sum Sq | Mean Sq | df1 | df2 | F | p adjusted | |
|---|---|---|---|---|---|---|
| stimulus (S) | 21.908 | 7.303 | 3 | 298694.067 | 7.332 | 0.000 |
| group | 0.045 | 0.045 | 1 | 1867.099 | 0.045 | 0.831 |
| task progression (TP) | 0.028 | 0.028 | 1 | 297216.936 | 0.028 | 0.867 |
| age | 0.147 | 0.147 | 1 | 192.082 | 0.147 | 0.702 |
| perceptual IQ | 1.088 | 1.088 | 1 | 183.975 | 1.093 | 0.297 |
| sex | 0.313 | 0.313 | 1 | 182.635 | 0.314 | 0.576 |
| sampling rate | 0.283 | 0.283 | 1 | 3426.834 | 0.284 | 0.594 |
| gaze center deviation | 2.002 | 2.002 | 1 | 720.042 | 2.010 | 0.157 |
| data quality | 252.632 | 252.632 | 1 | 225912.957 | 253.639 | 0.000 |
| S x group | 7.956 | 2.652 | 3 | 298693.869 | 2.662 | 0.046 |
| S x TP | 2.233 | 0.744 | 3 | 298695.326 | 0.747 | 0.524 |
| group x TP | 0.282 | 0.282 | 1 | 298634.746 | 0.283 | 0.594 |
| S x group x TP | 10.146 | 3.382 | 3 | 298694.753 | 3.395 | 0.017 |
| covariate | estimate | lower bound (2.5%) | upper bound (97.5%) |
|---|---|---|---|
| missing data per trial (%) | -0.03 | -0.03 | -0.03 |
| Sum Sq | Mean Sq | df1 | df2 | F | p adjusted | |
|---|---|---|---|---|---|---|
| stimulus (S) | 12.158 | 4.053 | 3 | 133932.010 | 4.066 | 0.007 |
| group | 0.025 | 0.025 | 1 | 1380.862 | 0.025 | 0.875 |
| sequence position - categorical (SP) | 1.067 | 0.534 | 2 | 133961.039 | 0.535 | 0.585 |
| age | 0.025 | 0.025 | 1 | 181.831 | 0.025 | 0.875 |
| perceptual IQ | 1.701 | 1.701 | 1 | 167.970 | 1.707 | 0.193 |
| sex | 1.018 | 1.018 | 1 | 166.423 | 1.021 | 0.314 |
| sampling rate | 2.469 | 2.469 | 1 | 1331.542 | 2.477 | 0.116 |
| gaze center deviation | 1.009 | 1.009 | 1 | 447.577 | 1.012 | 0.315 |
| data quality | 127.094 | 127.094 | 1 | 89909.980 | 127.524 | 0.000 |
| S x group | 0.280 | 0.093 | 3 | 133892.441 | 0.094 | 0.964 |
| S x SP | 15.177 | 2.529 | 6 | 133911.067 | 2.538 | 0.019 |
| group x SP | 6.895 | 3.447 | 2 | 133891.238 | 3.459 | 0.031 |
| S x group x SP | 8.784 | 1.757 | 5 | 133887.203 | 1.763 | 0.117 |
| Sum Sq | Mean Sq | df1 | df2 | F | p adjusted | |
|---|---|---|---|---|---|---|
| stimulus (S) | 27.812 | 9.271 | 3 | 45391.757 | 10.559 | 0.000 |
| group | 1.077 | 1.077 | 1 | 302.409 | 1.227 | 0.269 |
| task progression (TP) | 3.724 | 3.724 | 1 | 45382.911 | 4.242 | 0.039 |
| age | 108.521 | 108.521 | 1 | 229.741 | 123.600 | 0.000 |
| perceptual IQ | 0.102 | 0.102 | 1 | 229.560 | 0.117 | 0.733 |
| sex | 1.701 | 1.701 | 1 | 228.781 | 1.937 | 0.165 |
| sampling rate | 1.606 | 1.606 | 1 | 10137.119 | 1.829 | 0.176 |
| gaze center deviation | 2.567 | 2.567 | 1 | 226.455 | 2.923 | 0.089 |
| data quality | 3.715 | 3.715 | 1 | 45575.232 | 4.231 | 0.040 |
| S x group | 3.883 | 1.294 | 3 | 45391.262 | 1.474 | 0.219 |
| S x TP | 3.714 | 1.238 | 3 | 45416.556 | 1.410 | 0.238 |
| group x TP | 3.584 | 3.584 | 1 | 45586.756 | 4.083 | 0.043 |
| S x group x TP | 7.187 | 2.396 | 3 | 45416.859 | 2.728 | 0.042 |
| covariate | estimate | lower bound (2.5%) | upper bound (97.5%) |
|---|---|---|---|
| age (yrs) | 0.22 | 0.18 | 0.26 |
| missing data per trial (%) | -0.01 | -0.02 | 0 |
| Sum Sq | Mean Sq | df1 | df2 | F | p adjusted | |
|---|---|---|---|---|---|---|
| stimulus (S) | 87.246 | 29.082 | 3 | 45445.346 | 33.113 | 0.000 |
| group | 0.143 | 0.143 | 1 | 229.963 | 0.163 | 0.686 |
| sequence position - continuous (SP) | 0.003 | 0.003 | 1 | 45416.726 | 0.004 | 0.952 |
| age | 108.333 | 108.333 | 1 | 229.731 | 123.347 | 0.000 |
| perceptual IQ | 0.127 | 0.127 | 1 | 229.463 | 0.145 | 0.704 |
| sex | 1.669 | 1.669 | 1 | 228.787 | 1.901 | 0.169 |
| sampling rate | 0.754 | 0.754 | 1 | 10982.989 | 0.859 | 0.354 |
| gaze center deviation | 2.491 | 2.491 | 1 | 226.442 | 2.836 | 0.094 |
| data quality | 3.563 | 3.563 | 1 | 45574.546 | 4.056 | 0.044 |
| S x group | 11.056 | 3.685 | 3 | 45444.126 | 4.196 | 0.006 |
| S x SP | 2.504 | 0.835 | 3 | 45409.835 | 0.950 | 0.415 |
| group x SP | 2.135 | 2.135 | 1 | 45418.100 | 2.431 | 0.119 |
| S x group x SP | 0.198 | 0.066 | 3 | 45409.906 | 0.075 | 0.973 |



R version 4.2.2 (2022-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22621)
Matrix products: default
locale:
[1] LC_COLLATE=English_Germany.utf8 LC_CTYPE=English_Germany.utf8
[3] LC_MONETARY=English_Germany.utf8 LC_NUMERIC=C
[5] LC_TIME=English_Germany.utf8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] tiff_0.1-11 knitr_1.41 htmltools_0.5.4
loaded via a namespace (and not attached):
[1] Rcpp_1.0.9 highr_0.9 pillar_1.9.0 compiler_4.2.2
[5] bslib_0.4.1 later_1.3.0 jquerylib_0.1.4 git2r_0.30.1
[9] workflowr_1.7.0 tools_4.2.2 digest_0.6.30 jsonlite_1.8.4
[13] evaluate_0.18 lifecycle_1.0.3 tibble_3.2.1 pkgconfig_2.0.3
[17] rlang_1.1.1 cli_3.6.1 rstudioapi_0.14 yaml_2.3.6
[21] xfun_0.35 fastmap_1.1.0 stringr_1.5.0 fs_1.5.2
[25] vctrs_0.6.2 sass_0.4.4 rprojroot_2.0.3 grid_4.2.2
[29] glue_1.6.2 R6_2.5.1 fansi_1.0.3 rmarkdown_2.18
[33] magrittr_2.0.3 whisker_0.4.1 promises_1.2.0.1 httpuv_1.6.6
[37] utf8_1.2.2 stringi_1.7.8 cachem_1.0.6